• Proceedings of the Safety Management and Science Conference
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• 2005.05a
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• pp.273-278
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• 2005

Prescribed according to the occupational safety and health low noise measurement method was changed to personal sampling in the method to measure an area noise. Such method had the limit which did not evaluated characteristic of sound of occurrence and the place of origin. This study was performed to establish an engineering remedy of the work-place noise. The subject was a vibration control process of the place of business in Pusan. A simulation program applied for an engineering improvement of the work-place noise. The results were as follows: 1. An noise occurrence level of the work-place before improvement was $88^{\sim}97dB(A)$, We applied an improvement method to be established and were expected to $80^{\sim}119dB(A)$. 2. The level of the noise-distribution to appear in the place of origin of the work-place before improvement was $90^{\sim}93dB(A)$ but, We executed the simulation after applied an engineering remedy and predicted $80^{\sim}85dB(A)$. A result of the simulation blue part was changed mostly into the dark blue color. The results suggest that simulation program establishes an engineering remedy and is useful to the case to apply.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2006.11a
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• pp.48-53
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• 2006

Noise mapping is performed in the city of Cheongju which has 626,614 inhabitants on a $153.41km^2$ area. This city has 71,387 buildings and 969,274m roads. Many database sets like information of roads, topography and buildings are required for making the noise map of large area. These database sets are provided by the various departments of the regional administration in Cheongju city. Using the given database sets, 3-dimensional model of topography and buildings are made to consider the multi-reflections and diffractions. A predicted noise level is compared with measured noise level of the road traffic noise. As the tool of management and decision of urban noise policy, noise map is combined into the map of land use to make the conflict noise map. This conflict noise map is useful to assess the present urban noise and to make the better life in complicated urban life.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2000.06a
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• pp.1367-1372
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• 2000

Recently, many new constructuion and large scale modification of railway are performed for cost down of goods delivery charge and effective transportation in various aspect. Although railway traffic is environmentally frendly in many part but weak in noise and vibration problem. For the reduction and efficient management of railway noise, first of all prediction of railway noise is necessarily requisted. In domestic and abroad many studies for prediction of railway nearby noise are done. In this study simple modelling technique is investigated for railway noise prediction when railway passes above elevated concrete bridge as well as ground. Predicted results are compared with measured results and it is known that suggested modelling technique can be used for more precise prediction of railway nearby noise.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.17 no.6 s.123
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• pp.491-497
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• 2007

Reasonably accurate estimation of the exposed population to the distinct levels of noise is essential to the efficient management of urban environmental noise. This study proposes a method of calculating the number of exposed people to industrial noise by using GIS tool and noise mapping. The exposed population of noise based on estimation of the number of people that lived in each building in urban area is compared with the one based on density of population. This study suggests the five step method that consists of gathering the fundamental data, extracting the property from the digital map, noise mapping based on the three dimensional topography, estimating population that lives in each building, merging the various results with GIS tool, and estimating exposed population to industrial noise through analyzing the noise map with GIS tools.

• Journal of the Korean Society for Railway
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• v.7 no.2
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• pp.93-98
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• 2004

For the reduction and efficient management of railway noise, first of all prediction of railway noise is necessarily requisted. At home and abroad many studies for prediction of railway nearby noise have been accomplished. But it is impossible to predict exactly for the Korean Railway, because the acoustic powers for each rolling stock used in Korea have not been built yet. So in this study, acoustic powers for each Korean rolling stock such as Samaeul, Mugungwha were builded acceding to the speed and rail support systems. Predicted results using the acoustic powers suggested in this study are compared with measured results and it is known that these acoustic powers can be used for precise prediction of railway noise.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2003.05a
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• pp.542-548
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• 2003

This paper describes an overall Noise Assurance Plan(NAP) in the project for developing a new rolling stock. In this paper, the procedure for implementing noise control activities for each development stage on the basis of the NAP is also described. The NAP was developed by KITECH(Korea Institute of Industrial Technology) and ODS(${\Phi}$degaard ＆ Danneskiold-Samsoe in DENMARK). Generally, the main objective of NAP is that noise assurance plan applies to the establishment of organization and personnel's roles and responsibilities, set-up of overall procedure and internal audit program. Here, a few comments are made to the deviations of the actual procedure(G7 Project) relative to the suggested NAP presented. The major difference between the suggested NAP and the actual procedure was the late involvement of the noise consultant resulting in suggestions for design improvements could not be implemented due to the advanced stage of the design. Similarly, the important task of preparing sub-supplier specifications was performed. The proposed NAP will be an efficient tool for noise management in the R＆D project for new rolling stock. Specially, in case that several companies and institutes are involoved in the R＆D team

• Journal of Environmental Health Sciences
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• v.50 no.2
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• pp.81-82
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• 2024

Urban air mobility (UAM) is emerging as an innovative transportation solution for cities. However, the potential noise impact on urban life must be carefully examined. Continuous exposure to UAM noise, with its unique frequency characteristics and temporal variability, may adversely affect citizens' health by causing sleep disorders, cardiovascular disease, and cognitive impairmenet, particularly in children. NASA has formed a UAM Noise Working Group to study this issue comprehensively. In Korea, the Seoul Metropolitan Government's UAM demonstration project is expected to accelerate related research and development. Scientific analysis, including noise measurement, prediction modeling, and health impact assessment, must be prioritized. Measures to minimize noise should be established based on this evidence, such as optimizing flight modes, developing noise reduction technologies, and establishing new noise management standards. Transparency and social consensus are crucial throughout this process. Expert review and open communication with civil society are necessary to address related concerns. Sharing demonstration project results and providing opportunities to experience UAM noise through digital twin simulations can help address public concerns and build social consensus. Proactively and scientifically tackling noise issues is essential for the sustainable development and successful integration of UAM into daily life.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2006.05a
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• pp.89-101
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• 2006

This study is a part of ???A study of the community noise:new guideline and policy' which have three main topics and ten sub-topics. Accordingly this part deals with a transpotation noise specifying road traffic ,railroad and aircraft noise, respectively. At first, the ,roadside traffic noise of whole country in 2004 ,22 major cities of total 29 was exceeded the envionmetal noise standards, 55dB(A) at night time ,therefore 24 milion people ,52.4% of korean, who reside at roadside estimates to be exposured the basic problems of this serious noise polluation comes from:: i)It's very limited noise mitigation measures against to continuously increase the number of automobile yearly. ii) and at beginning of road design, It has been neglect to introduce the anti-noise design and layout of road structural scheme as gadient,cutting and viaduct,embankment and zonning of roadside land-buffer area and also re-designation of noise sensitive areas,etc. Secondly ,concerned with the railroad trafffic noise, a inhabitants who are over the envionmetal noise limits,70dB(A), 65 dB(A) in day and night for 34 locations of mayor cities was exposured of 167,000 and 329,000 respectively. With the development of noise mitigation schemes in line with this study it is likely that noise monitoring system needs new installation as well as common use of noise assessment index with $L_{MAX}\;and\;L_{EQ}$. Lastly,noise complaints of millitary aircraft has been rapidly increasing ,so 2.9%(1.4 minion) person demands a compansation of \2,133 billion complying with their requirements we suggest to minimise the airport noise that is to develop of noise abatement procedure ,to make new noise index, to increase budget for house insulations and also to more increase of those the noise monitoring system and to unify the management etc.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.6
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• pp.1946-1963
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• 2014

Most background subtraction methods focus on dynamic and complex scenes without considering robustness against noise. This paper proposes a background subtraction algorithm based on dictionary learning and sparse coding for handling low light conditions. The proposed method formulates background modeling as the linear and sparse combination of atoms in the dictionary. The background subtraction is considered as the difference between sparse representations of the current frame and the background model. Assuming that the projection of the noise over the dictionary is irregular and random guarantees the adaptability of the approach in large noisy scenes. Experimental results divided in simulated large noise and realistic low light conditions show the promising robustness of the proposed approach compared with other competing methods.

• Journal of Environmental Health Sciences
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• v.45 no.6
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• pp.605-612
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• 2019

Objectives: This study aims to examine receptor-perceived characteristics of environmental and health damage in areas surrounded by industrial workplaces using environmental complaints collected by local governments in Korea. Methods: The environmental complaint data related to workplaces was collected by local governments at each municipality between the years 2015 and 2017. We analyzed the complaint data from the Busan area by the type of business (industry classification), the content of complaints (odor, smoke, noise, and certain health damage), and the frequency of complaints. Results: Among the workplaces examined, industry categories related to retail and service received the highest frequency of complaints related to noise. On the other hand, complaints of dust and odors were raised in higher frequency against manufacturing industries, indicating that air pollution was the main driver of such complaints. Most of the complaints regarding health effects from industries also contained other complaints, such as odor, noise, and dust. Our results indicate that environmental discomfort can lead to more serious health damage, and should be dealt with more seriously. Further management plans for mitigating discomforts such as noise are necessary. Conclusion: This study can be used as background data for identifying the policy priorities related to vulnerable areas polluted by industry and will contribute to improving the environmental health of residents in identified areas.